Install
$ agentstack add skill-neuromechanist-research-skills-paper-review ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Academic Manuscript Review
Routes a manuscript to an independent, fresh-context reviewer that evaluates it for methodological soundness, statistical validity, logical consistency, and reproducibility, and returns a structured peer review. This skill is a thin dispatcher: it decides how to run the reviewer and in which mode. The review procedure, checklists, statistical and figure guides, principles, and output template all live in references/ and are loaded by the reviewer, not duplicated here.
When to use
Activate when the user wants peer-review feedback on a manuscript (journal article, conference paper, preprint).
Why a fresh-context reviewer
Review validity depends on independence: a reviewer that shares the conversation that produced the manuscript is biased toward it. Run the reviewer in a separate context and pass only framing (manuscript path, target journal, manuscript type, revision status), never the authoring rationale. This is why the reviewer is a subagent on tools that support one, and an inline procedure where they do not.
Modes (user decides each run)
- Single (default): one independent reviewer applies the full procedure end to end.
- Panel (opt-in): spawn independent reviewers in parallel on complementary lenses, then a synthesis pass. Trigger on "review panel", "multiple reviewers", or an explicit request. Lenses: methods/design, statistics, and novelty/significance (add reproducibility for methods-heavy or hardware papers). Each reviewer reads the whole manuscript but weights its lens and scores independently from
references/; a final synthesis pass merges them into one Critical/Major/Minor review and surfaces genuine disagreement rather than averaging it away.
Dispatch
Pick the branch for the current tool. In every branch the reviewer follows references/review-procedure.md.
- Claude Code:
Task(subagent_type: "paper-review", ...)passing the manuscript path, target journal/type, and mode. For panel mode, launch oneTaskper lens in parallel, then a final synthesisTask. - Codex CLI: plugin installation exposes this skill, not a Codex subagent. To use a fresh-context Codex reviewer, first copy
agents/templates/paper-review.tomlto~/.codex/agents/or.codex/agents/, then invoke that configured agent if the current Codex surface supports/agent. For panel mode, ensuremax_threadscovers the lens count. If no Codex subagent is configured or available, use the fallback branch. - Copilot CLI: plugin installation exposes this skill and, through
.github/plugin/plugin.json, the.agent.mdreviewer inagents/templates/. Invoke that configured agent when the current Copilot surface supports custom agents; use/fleetfor panel mode when available. If running outside a plugin install, copyagents/templates/paper-review.agent.mdto.github/agents/or~/.copilot/agents/. If no custom agent is available, use the fallback branch. - Fallback (no subagent support, or the user wants an interactive in-thread review): first locate the rubric (
$CLAUDE_PLUGIN_ROOT/skills/paper-review/references, elsefind . -type d -path '*/skills/paper-review/references' | head -1); if it cannot be found, stop and tell the user to install the manuscript plugin rather than reviewing from memory. Then followreferences/review-procedure.mddirectly in this context.
The brain (do not duplicate into dispatch or agent shells)
references/review-procedure.md-- step-by-step procedure: intake, read, methodology, logic, literature, reproducibility, figures, writing, output.references/methodology-checklist.md,references/statistical-review-guide.md,references/figure-review-guide.md-- the assessment checklists and guides.references/review-principles.md-- review philosophy and severity calibration.references/review-output-template.md-- the Synopsis / Critical / Major / Minor / References / Editor Note format.examples/sample-manuscript-review.md-- worked review for calibration;examples/sample-manuscript-excerpt.md-- sample manuscript input for testing.- Sister skill
manuscript:humanizer-- AI-writing patterns to flag in the prose-quality pass.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: neuromechanist
- Source: neuromechanist/research-skills
- License: BSD-3-Clause
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.